Results 171 to 180 of about 1,970,999 (278)

A case report of multiple system atrophy-mimics: Importance of comprehensive evaluation in suspected familial cases. [PDF]

Medicine (Baltimore)
Jeong C, Farrer M, Khurana V, Kim HJ.
europepmc   +1 more source

Crater Observing Bioinspired Rolling Articulator (COBRA)

Advanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame, Henry Noyes, Eric Sihite, Arash Kalantari, Alireza Ramezani   +4 more
wiley   +1 more source

Leading With Purpose: Reflections From a Career in Service to Nation and Mission. [PDF]

Public Health Rep
Kleiman RME.
europepmc   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Draft genome sequence of a non-tuberculous Mycobacterium strain isolated from a clinical urine sample. [PDF]

Access Microbiol
Rivas Ramos JE, Johnston PR, Hammond RJH, Holden MTG, Sloan DJ, Haag AF.   +5 more
europepmc   +1 more source

The Chapters of Matthew [PDF]

, 2018
Willmington, Harold
core   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Poly(vinylidene Fluoride)‐Based Ferroelectric Polymers for Electromechanical Transduction: A Systematic Review of Materials and Actuators

Advanced Intelligent Systems, EarlyView.
Poly(vinylidene fluoride) (PVDF)‐based ferroelectric materials exhibit high strains, energy densities and coupling efficiencies, appealing for diverse applications requiring smart material actuators. This work reviews electromechanical transduction in PVDF‐based polymers and their modifications, implementation in actuators, and functional devices ...
Giulio Gallucci, Andres Hunt
wiley   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Author Correction: Conservation and alteration of mammalian striatal interneurons. [PDF]

Nature
Corrigan EK, DeBerardine M, Poddar A, Turrero García M, de la O S, He S, Sen H, Duhne M, Lindberg S, Song M, Schmitz MT, Sears KE, Mallarino R, Berke JD, Harwell CC, Paredes MF, Krienen FM, Pollen AA.   +17 more
europepmc   +1 more source